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计算机系统应用英文版:2016,25(1):160-164

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IPI:一种基于影响力和兴趣的链接预测算法

杨林瑞^1,2, 廖倡^1,2

(1.复旦大学计算机科学技术学院, 上海 201203;2.上海市数据科学重点实验室(复旦大学), 上海 201203)

IPI:A Link Prediction Algorithm Based on Users' Influences and Interests

YANG Lin-Rui^1,2, LIAO Chang^1,2

(1.School of Computer Science and Technology, Fudan University, Shanghai 201203, China;2.Shanghai Key Laboratory of Data Science, Fudan University, Shanghai 201203, China)

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本文已被：浏览 1509次下载 2571次
Received:April 28, 2015 Revised:June 08, 2015

中文摘要: 链接预测的一个关键问题在于如何合理高效地结合链接属性、节点属性等相关信息以用于预测的目的,针对该问题提出了一种基于节点影响力和兴趣的链接预测算法IPI(Influence Plus Interest),即通过拓扑结构信息来量化用户的影响力,通过文本信息来模拟用户兴趣.结合两类信息对节点间的联系进行打分,得分高的节点对即代表具有较强的联系.在真实数据集上的实验表明,我们提出的方法具有一定的可行性.

中文关键词: 社会网络链接预测影响力度量兴趣模型

Abstract:Currently one of core issues of link prediction is how to rationally and efficiently combine link attributes, node attributes and other relevant information for forecasting purposes. Aim at this problem, we propose a link prediction algorithm based on influence and interest, which mainly consists of quantizing the influence of nodes by topology structure information and simulating users' interests by text information. These two types of information are aggregated to give the relation score to the node pairs. High-scoring pair of nodes which represents a strong link. Experiments on real datasets show the method proposed in this paper is feasible.

keywords: social network link prediction influence measure interest model

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Author Name	Affiliation
YANG Lin-Rui	School of Computer Science and Technology, Fudan University, Shanghai 201203, China Shanghai Key Laboratory of Data Science, Fudan University, Shanghai 201203, China
LIAO Chang	School of Computer Science and Technology, Fudan University, Shanghai 201203, China Shanghai Key Laboratory of Data Science, Fudan University, Shanghai 201203, China

Author Name	Affiliation
YANG Lin-Rui	School of Computer Science and Technology, Fudan University, Shanghai 201203, China Shanghai Key Laboratory of Data Science, Fudan University, Shanghai 201203, China
LIAO Chang	School of Computer Science and Technology, Fudan University, Shanghai 201203, China Shanghai Key Laboratory of Data Science, Fudan University, Shanghai 201203, China

引用文本：
杨林瑞,廖倡.IPI:一种基于影响力和兴趣的链接预测算法.计算机系统应用,2016,25(1):160-164
YANG Lin-Rui,LIAO Chang.IPI:A Link Prediction Algorithm Based on Users' Influences and Interests.COMPUTER SYSTEMS APPLICATIONS,2016,25(1):160-164